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io.github.AIops-tools/olvm-aiops

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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.9/5.0

    Scored across 17 tools

    Disambiguation5/5

    Every tool targets a distinct resource and action: list/get tools expose raw state, RCA tools provide ranked diagnosis for a specific entity type, and event/job/undo tools cover cross-cutting concerns. Even the four RCA tools are clearly separated by entity—engine, host, storage, VM—and their descriptions explicitly tell agents which one to use for which question.

    Naming Consistency5/5

    All tool names follow a consistent lowercase snake_case `entity_action` pattern: `host_list`, `host_get`, `vm_stats`, `engine_health_rca`, `undo_apply`. The RCA variants all share the `_rca` suffix, and list/get pairs are uniform across hosts, storage domains, and VMs, making the naming scheme highly predictable.

    Tool Count4/5

    At 17 tools, the count is slightly above the ideal sweet spot but justifiable given the server covers multiple entity types, raw inventory reads, per-entity diagnostics, events, jobs, stats, and undo bookkeeping. Each tool fills a clear role; only a few entity-specific get/list variations make it feel a bit heavy.

    Completeness4/5

    The toolset provides strong read and diagnostic coverage across the core oVirt/OLVM domains: data centers, clusters, hosts, storage, VMs, events, jobs, stats, and health RCA. Minor gaps exist—such as no detailed cluster/storage/VM health breakdowns beyond RCA and no broader write operations—but these are workarounds an agent can usually route around using existing tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources